Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use grinvolod/a2c-PandaReachDense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use grinvolod/a2c-PandaReachDense with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="grinvolod/a2c-PandaReachDense", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from grinvolod/a2c-PandaReachDense: direct link, hf CLI and curl.
- Browser
- Download file 2.64 kB
-
https://huggingface.co/grinvolod/a2c-PandaReachDense/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://grinvolod/a2c-PandaReachDense/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/grinvolod/a2c-PandaReachDense/resolve/main/vec_normalize.pkl
2.64 kB
- Xet hash:
- 53e81921ee5788660d6adb392dec8140a1d4b7da0cbe04e0071f9706aaf9900b
- Size of remote file:
- 2.64 kB
- SHA256:
- b03204ceb973187bd9be30a9afcc5da6e7514709ccaf29c969e1108765bf5b88
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